Geeta University is a well-known Haryana based university that offers courses in management, commerce, engineering, arts, humanities, social sciences, law, performing arts, and Indic studies. It offers an program that is focused on imparting advanced knowledge on the subject. The college aims to provide world-class and holistic education to students.

this University offers varies specialization in BCA -

1. BCA (Hons) Industry Integrated Programme in Artificial intelligence and Machine Learning

2. BCA (Hons) Industry Integrated Programme in Data Science &Anaalyticss

3. BCA (Hons) Industry Integrated Programme in Cyber Security

4. BCA (Hons) Industry Integrated Programme in Cloud Computing

5. BCA (Hons) Industry Integrated Programme Full Stack web development in tie up with codequotient

hi,

see cutoff score fluctuate every year and it depends on certain determining  factors like number of applicants, questions difficulty level, seat matrix, choice of stream  and so on. however as per previous years cutoff you have decent chances for selection in cse stream, this year expected closing rank is 9500 - 10500, we still not having the cse with specialized cutoff, however I would suggest to give choices as per your Interest. AL AND ML, data science, cloud computing, big data all are emerging technologies and have wide scope in future.

follow our article at below link to know about srmjee cutoff:

https://engineering.careers360.com/articles/srmjeee-cutoff

hi,

see specialization course does not debarred you from not selected for CSE related job, while you go for specialization, that means you have studied the particular topic apart your generalized syllabus. however if you want you may go for others relevant streams job as well. after completing b.tech in cse you may apply as software engineer, programmer, data analyst , web developer like positions. however big data/ data science or cyber security each of the technology has wide opportunity and chances that it would increase in future. however apart from stream you have to be very selective about college and placement record so that you do not need to struggle for job after completing the graduation.

hope you understand.

Hi aspirant,

At first congratulations on your success in VITMEE. With the mentioned rank and going along the past trends you will certainly get computer science and engineering with specialisation in either artificial intelligence and machine learning for big Data analytics at the Chennai campus under category 2 or at maximum in category 3. The chances at Vellore campus are medicore but you can still try with higher fee category. You can get more details at https://engineering.careers360.com/articles/vitmee

Hope it helps!!

Hey!

As per the eligibility criteria for PG diploma in Big Data Analytics candidate must have any one one of these:

• UG degree in engineering
• MSC / MS in Computer science, IT or electronics with maths
• MCA or PG in mathematics/stats/phy
• candidate must have atleast 55% in qualifying exam

There is no need for work experince. Visit here for more information:

https://www.cdac.in/index.aspx?id=DBDA&courseid=65#

Thankyou

Hello

St Xavier's Mumbai does not release a cutoff mark for MSc per say. They release merit lists so if your ame appears in the merit list it means you cleared the cutoff. They do not release official cutoffs for any course. The selection of the candidates vary from one course to the other. usually taking into account the scores during the Bachelors and an interview.

You can check out the merit list by clicking on http://www.xaviers.edu/main/index.php/component/content/article/9-uncategorised/512-sml-big-data-analytics

All the best!

Hello Jayanth,

Data science is the field of study where experts or data scientists uses programming knowledge ,mathematics and statistics to bring out or generate meaningful insights from raw data. It is related to producing artificial intelligence system to replace the human intelligence to do tasks. It is broader branch of study compared to data analytics where analysts use these meaningful insights to arrive at conclusions ,make informed decisions and solve problems or answers questions . They basically use what has been generated by data scientists . Data analytics is a micro sub-field of data science. Also in data science there is heavy coding , hence that is the major skill required , need to know a lot of programming languages, whereas knowledge in math and statistics can help you survive in data analytics.

Major areas of data science are machine learning, AI, search engine engineering and corporate analytics. On the other hand , data analytics is used in healthcare, gaming, travel, industries with immediate data needs.

Hope it helps